Open access
Aug 2026
Kidney stones composition prediction using artificial intelligence (KiSCAI) study.
OBJECTIVES To develop and validate explainable machine learning (ML) models predicting urinary stone composition from routinely available clinical variables and standardised morphological features, and to quantify the incremental value of morphology. PATIENTS AND METHODS This retrospective cohort study included conse...
L. Duffaut, P. Scilipoti, Z. Khene et al.
· BJU International · 0 citations